2 papers
cs.AR2020
Energy-Efficient On-Chip Networks through Profiled Hybrid Switching
Yuan He, Jinyu Jiao, Thang Cao +1
Virtual channel flow control is the de facto choice for modern networks-on-chip to allow better utilization of the link bandwidth through buffering and packet switching, which are…
cs.LG2019
A Neural Network-Based On-device Learning Anomaly Detector for Edge Devices
Mineto Tsukada, Masaaki Kondo, Hiroki Matsutani
Semi-supervised anomaly detection is an approach to identify anomalies by learning the distribution of normal data. Backpropagation neural networks (i.e., BP-NNs) based approaches…